Predictive modelling for clinical trial completion: assessing the phase success - incorporating RAG techniques for predictive modelling of clinical trial outcomes
Year: 2024
Type: dissertation
Abstract: This study investigates predictive modeling of clinical trial completion using the HINTBasic and HINTPlus models. By integrating multimodal datasets, the models predict clinical trial phase success. It provides interpretability insights into the HINTPlus model's decision-making process. Retrieval-Augmented-Generation techniques were used to contextualize results. Our findings support informed decision-making, optimize resource allocation, and accelerate drug development in clinical trials.
Author: Hamrouni, Jasmin
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7014596040
